New Relic announced the general availability of a new infrastructure monitoring experience to empower DevOps, SRE and ITOps teams to proactively identify and resolve issues in their public, private and hybrid cloud infrastructure.
The modernized experience allows engineers to instantly isolate bottlenecks by filtering and sorting based on golden signal conditions, analyze all related telemetry (including logs, events, alerts, network, etc.) in context, visualize blast radius with topology maps and perform historical analysis to understand cascading impacts. The experience is included as an essential part of the all-in-one New Relic One observability platform that allows engineers to get 3X+ more value than the competition, which requires provisioning separate SKUs with disjointed experiences and agent-based pricing models.
Detecting, investigating, and resolving infrastructure performance incidents has never been more challenging. First, there has been an exponential increase in the complexity of infrastructure to monitor as 40%+ of all enterprise workloads have moved to private, public, hybrid and edge cloud infrastructure. Second, with a majority of enterprises using Kubernetes, a large portion of infrastructure is now ephemeral, resulting in tens of thousands of components that are not feasible to monitor without modern observability. Last, infrastructure isn’t just ITOps’ responsibility, all engineers are required to be self-sufficient in debugging infrastructure-specific issues and still toggle between at least two tools to monitor the health of their systems. New Relic infrastructure monitoring capabilities address these three key issues, delivering a modern all-in-one experience that helps all engineers to troubleshoot complex distributed infrastructure.
“Our mission is to help every engineer do their best work based on data, not opinions ... We have received overwhelmingly positive feedback from our early-access customers, many of whom are replacing their incumbent solutions with New Relic One ...” said New Relic CEO Bill Staples.
New Relic’s infrastructure monitoring experience delivers five key capabilities:
- Isolate bottlenecks – View and action on queries such as “show me the hosts where CPU utilization is greater than 80%” by filtering and sorting tens of thousands of infrastructure components based on golden signal conditions.
- Access all context – Analyze related entities, change telemetry, logs, alerts, events, golden signals, network metrics, and more, all in context and in a unified experience to identify the root cause and initiate issue resolution.
- Visualize blast radius – View upstream and downstream dependencies of bottleneck components using topology maps to quantify the true extent and impact of an incident.
- Time travel analysis – Go back in time to see health status changes and cascading performance impacts on topology maps using the Timewarp module in the topology maps.
- 3X+ more value – Realize higher value on your investments as compared to the competition with agent based pricing based on New Relic One’s simple and predictable US$0.25 per GB and per-user fees.
The infrastructure monitoring experience is now generally available across all regions as part of the New Relic One platform - the all-in-one observability platform with a secure telemetry cloud, powerful full-stack analysis tools and predictable consumption pricing instead of disjointed SKU bundles. All existing customers can access this new capability without any additional cost as part of their New Relic One account.
The Latest
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...